SpamBase (20% of outliers version#05)
A data set representing emails classified as spam (outliers) or nonspam.
Download all data set variants used (25.4 MB). You can also access the original data. (spambase.data)
- Normalized, without duplicates
- Normalized, duplicates
- Not normalized, without duplicates
- Not normalized, duplicates
Normalized, without duplicates
This version contains 57 attributes, 3160 objects, 632 outliers (20.00%)
Download raw algorithm results (28.3 MB) Download raw algorithm evaluation table (72.9 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 1 | 0.30538 | 0.13172 | 0.26364 | 0.07954 | 0.35633 | 0.19542 | 0.57992 |
KNN | 7 | 0.28481 | 0.10601 | 0.28055 | 0.10069 | 0.40693 | 0.25867 | 0.65495 |
KNNW | 1 | 0.29430 | 0.11788 | 0.23789 | 0.04737 | 0.33333 | 0.16667 | 0.51456 |
KNNW | 14 | 0.28323 | 0.10403 | 0.27084 | 0.08854 | 0.39088 | 0.23860 | 0.63814 |
KNNW | 25 | 0.27373 | 0.09217 | 0.27053 | 0.08816 | 0.39984 | 0.24980 | 0.64437 |
KNNW | 27 | 0.28006 | 0.10008 | 0.27031 | 0.08789 | 0.39920 | 0.24900 | 0.64446 |
LOF | 86 | 0.24842 | 0.06052 | 0.24239 | 0.05299 | 0.37113 | 0.21391 | 0.59320 |
LOF | 87 | 0.25000 | 0.06250 | 0.24228 | 0.05285 | 0.37298 | 0.21622 | 0.59346 |
LOF | 96 | 0.26108 | 0.07634 | 0.24115 | 0.05144 | 0.37187 | 0.21484 | 0.59232 |
SimplifiedLOF | 2 | 0.25316 | 0.06646 | 0.23040 | 0.03800 | 0.33386 | 0.16733 | 0.50634 |
SimplifiedLOF | 4 | 0.25633 | 0.07041 | 0.22495 | 0.03118 | 0.33430 | 0.16788 | 0.52235 |
SimplifiedLOF | 47 | 0.18671 | -0.01661 | 0.21208 | 0.01509 | 0.35565 | 0.19457 | 0.54891 |
SimplifiedLOF | 89 | 0.16930 | -0.03837 | 0.21892 | 0.02364 | 0.36209 | 0.20261 | 0.54159 |
LoOP | 97 | 0.23734 | 0.04668 | 0.23353 | 0.04191 | 0.36376 | 0.20470 | 0.57153 |
LoOP | 99 | 0.23892 | 0.04866 | 0.23380 | 0.04225 | 0.36234 | 0.20292 | 0.57187 |
LoOP | 100 | 0.23892 | 0.04866 | 0.23383 | 0.04229 | 0.36220 | 0.20275 | 0.57207 |
LDOF | 5 | 0.23734 | 0.04668 | 0.21559 | 0.01948 | 0.33369 | 0.16711 | 0.50909 |
LDOF | 69 | 0.21361 | 0.01701 | 0.22491 | 0.03113 | 0.35600 | 0.19500 | 0.55715 |
LDOF | 95 | 0.20886 | 0.01108 | 0.22673 | 0.03341 | 0.35913 | 0.19891 | 0.55630 |
LDOF | 98 | 0.21835 | 0.02294 | 0.22680 | 0.03350 | 0.35693 | 0.19616 | 0.55596 |
ODIN | 29 | 0.23517 | 0.04397 | 0.22305 | 0.02881 | 0.36060 | 0.20075 | 0.56287 |
ODIN | 96 | 0.25536 | 0.06920 | 0.24317 | 0.05397 | 0.35433 | 0.19292 | 0.58864 |
ODIN | 99 | 0.25142 | 0.06427 | 0.24332 | 0.05415 | 0.35397 | 0.19247 | 0.58897 |
ODIN | 100 | 0.25111 | 0.06389 | 0.24316 | 0.05395 | 0.35507 | 0.19384 | 0.58902 |
FastABOD | 3 | 0.25949 | 0.07437 | 0.23403 | 0.04254 | 0.33982 | 0.17477 | 0.54954 |
FastABOD | 4 | 0.27690 | 0.09612 | 0.23321 | 0.04151 | 0.33983 | 0.17478 | 0.54916 |
FastABOD | 58 | 0.26266 | 0.07832 | 0.23323 | 0.04154 | 0.34022 | 0.17527 | 0.53996 |
KDEOS | 76 | 0.18513 | -0.01859 | 0.20327 | 0.00408 | 0.35115 | 0.18893 | 0.53319 |
KDEOS | 97 | 0.22468 | 0.03085 | 0.20853 | 0.01066 | 0.34870 | 0.18588 | 0.54006 |
KDEOS | 99 | 0.22152 | 0.02690 | 0.20940 | 0.01175 | 0.35032 | 0.18790 | 0.54204 |
KDEOS | 100 | 0.22468 | 0.03085 | 0.20950 | 0.01188 | 0.34940 | 0.18675 | 0.54163 |
LDF | 3 | 0.25475 | 0.06843 | 0.22535 | 0.03169 | 0.34054 | 0.17568 | 0.53315 |
LDF | 99 | 0.22468 | 0.03085 | 0.24225 | 0.05282 | 0.39311 | 0.24139 | 0.61177 |
LDF | 100 | 0.22152 | 0.02690 | 0.24201 | 0.05252 | 0.39424 | 0.24280 | 0.61174 |
INFLO | 80 | 0.25475 | 0.06843 | 0.23897 | 0.04871 | 0.36339 | 0.20423 | 0.58710 |
INFLO | 98 | 0.24684 | 0.05854 | 0.24007 | 0.05008 | 0.36740 | 0.20925 | 0.59158 |
INFLO | 99 | 0.25000 | 0.06250 | 0.23992 | 0.04990 | 0.36824 | 0.21030 | 0.59154 |
INFLO | 100 | 0.24842 | 0.06052 | 0.23981 | 0.04976 | 0.36804 | 0.21005 | 0.59172 |
COF | 2 | 0.25316 | 0.06646 | 0.22623 | 0.03278 | 0.33377 | 0.16722 | 0.50696 |
COF | 8 | 0.25791 | 0.07239 | 0.21185 | 0.01481 | 0.33333 | 0.16667 | 0.50648 |
COF | 44 | 0.22152 | 0.02690 | 0.21198 | 0.01497 | 0.33934 | 0.17417 | 0.53545 |
COF | 70 | 0.18829 | -0.01464 | 0.20334 | 0.00417 | 0.34853 | 0.18566 | 0.52130 |
Plots
Normalized, duplicates
This version contains 57 attributes, 3485 objects, 697 outliers (20.00%)
Download raw algorithm results (29.1 MB) Download raw algorithm evaluation table (74.7 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 5 | 0.31133 | 0.13917 | 0.27835 | 0.09794 | 0.40768 | 0.25960 | 0.64806 |
KNN | 8 | 0.29986 | 0.12482 | 0.27980 | 0.09975 | 0.41071 | 0.26339 | 0.66282 |
KNN | 10 | 0.29412 | 0.11765 | 0.27549 | 0.09436 | 0.41126 | 0.26408 | 0.66211 |
KNN | 11 | 0.29555 | 0.11944 | 0.27599 | 0.09499 | 0.41029 | 0.26287 | 0.66301 |
KNNW | 14 | 0.29412 | 0.11765 | 0.27256 | 0.09069 | 0.40071 | 0.25088 | 0.64675 |
KNNW | 15 | 0.29555 | 0.11944 | 0.27242 | 0.09052 | 0.40073 | 0.25091 | 0.64734 |
KNNW | 26 | 0.29125 | 0.11406 | 0.26715 | 0.08393 | 0.40921 | 0.26151 | 0.64953 |
KNNW | 30 | 0.28264 | 0.10330 | 0.26637 | 0.08296 | 0.40816 | 0.26020 | 0.64980 |
LOF | 5 | 0.25825 | 0.07281 | 0.22913 | 0.03641 | 0.34405 | 0.18006 | 0.55097 |
LOF | 15 | 0.21664 | 0.02080 | 0.21892 | 0.02365 | 0.35904 | 0.19881 | 0.56805 |
LOF | 36 | 0.18938 | -0.01327 | 0.20744 | 0.00930 | 0.36802 | 0.21003 | 0.55616 |
SimplifiedLOF | 2 | 0.25395 | 0.06743 | 0.22613 | 0.03266 | 0.33397 | 0.16747 | 0.52118 |
SimplifiedLOF | 44 | 0.17217 | -0.03479 | 0.19937 | -0.00078 | 0.35446 | 0.19308 | 0.53530 |
SimplifiedLOF | 53 | 0.15638 | -0.05452 | 0.19591 | -0.00512 | 0.35776 | 0.19720 | 0.52877 |
LoOP | 2 | 0.24677 | 0.05846 | 0.23329 | 0.04162 | 0.33333 | 0.16667 | 0.53892 |
LoOP | 7 | 0.25108 | 0.06385 | 0.22598 | 0.03248 | 0.33548 | 0.16935 | 0.54800 |
LoOP | 44 | 0.19799 | -0.00251 | 0.21177 | 0.01471 | 0.35993 | 0.19991 | 0.55344 |
LoOP | 88 | 0.16356 | -0.04555 | 0.20610 | 0.00763 | 0.36095 | 0.20119 | 0.53549 |
LDOF | 2 | 0.24103 | 0.05129 | 0.22257 | 0.02821 | 0.33333 | 0.16667 | 0.49473 |
LDOF | 3 | 0.25538 | 0.06923 | 0.22249 | 0.02811 | 0.33333 | 0.16667 | 0.49052 |
LDOF | 77 | 0.18795 | -0.01506 | 0.20834 | 0.01043 | 0.36150 | 0.20187 | 0.54368 |
LDOF | 79 | 0.18795 | -0.01506 | 0.20983 | 0.01228 | 0.35949 | 0.19937 | 0.54462 |
ODIN | 23 | 0.23923 | 0.04903 | 0.23447 | 0.04309 | 0.36428 | 0.20535 | 0.58045 |
ODIN | 54 | 0.24641 | 0.05801 | 0.23978 | 0.04972 | 0.35852 | 0.19816 | 0.58432 |
ODIN | 99 | 0.26465 | 0.08081 | 0.24078 | 0.05098 | 0.35235 | 0.19044 | 0.58346 |
FastABOD | 3 | 0.24677 | 0.05846 | 0.21480 | 0.01850 | 0.34610 | 0.18262 | 0.54464 |
FastABOD | 70 | 0.23673 | 0.04591 | 0.21833 | 0.02292 | 0.34881 | 0.18601 | 0.54598 |
FastABOD | 76 | 0.23673 | 0.04591 | 0.21841 | 0.02302 | 0.34881 | 0.18601 | 0.54615 |
FastABOD | 100 | 0.24103 | 0.05129 | 0.21890 | 0.02363 | 0.34881 | 0.18601 | 0.54606 |
KDEOS | 4 | 0.21090 | 0.01363 | 0.21755 | 0.02194 | 0.33666 | 0.17083 | 0.50740 |
KDEOS | 8 | 0.21951 | 0.02439 | 0.20311 | 0.00388 | 0.33747 | 0.17183 | 0.49267 |
KDEOS | 63 | 0.21521 | 0.01901 | 0.21455 | 0.01818 | 0.34838 | 0.18548 | 0.55059 |
KDEOS | 98 | 0.18508 | -0.01865 | 0.20420 | 0.00525 | 0.35238 | 0.19047 | 0.54207 |
LDF | 5 | 0.28551 | 0.10689 | 0.27706 | 0.09632 | 0.38587 | 0.23233 | 0.61690 |
INFLO | 5 | 0.24821 | 0.06026 | 0.22069 | 0.02586 | 0.34105 | 0.17631 | 0.54494 |
INFLO | 17 | 0.21377 | 0.01722 | 0.21236 | 0.01545 | 0.36439 | 0.20549 | 0.55580 |
INFLO | 45 | 0.17647 | -0.02941 | 0.20367 | 0.00459 | 0.36825 | 0.21031 | 0.54669 |
COF | 2 | 0.25395 | 0.06743 | 0.23023 | 0.03779 | 0.34302 | 0.17878 | 0.53675 |
COF | 41 | 0.22382 | 0.02977 | 0.21509 | 0.01887 | 0.33957 | 0.17446 | 0.54510 |
COF | 90 | 0.15638 | -0.05452 | 0.19168 | -0.01040 | 0.34935 | 0.18669 | 0.49481 |
Plots
Not normalized, without duplicates
This version contains 57 attributes, 3160 objects, 632 outliers (20.00%)
Download raw algorithm results (27.5 MB) Download raw algorithm evaluation table (72.4 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 7 | 0.42722 | 0.28402 | 0.42686 | 0.28357 | 0.44154 | 0.30193 | 0.72940 |
KNN | 8 | 0.43038 | 0.28797 | 0.42387 | 0.27984 | 0.43971 | 0.29963 | 0.72923 |
KNN | 65 | 0.40190 | 0.25237 | 0.40295 | 0.25369 | 0.44848 | 0.31060 | 0.73323 |
KNN | 100 | 0.39873 | 0.24842 | 0.39764 | 0.24706 | 0.45101 | 0.31376 | 0.73183 |
KNNW | 17 | 0.42405 | 0.28006 | 0.42272 | 0.27840 | 0.44105 | 0.30131 | 0.72583 |
KNNW | 99 | 0.40190 | 0.25237 | 0.40634 | 0.25793 | 0.44217 | 0.30272 | 0.73210 |
KNNW | 100 | 0.40190 | 0.25237 | 0.40619 | 0.25773 | 0.44195 | 0.30243 | 0.73213 |
LOF | 87 | 0.31013 | 0.13766 | 0.29076 | 0.11345 | 0.37677 | 0.22097 | 0.63024 |
LOF | 95 | 0.30538 | 0.13172 | 0.29477 | 0.11846 | 0.38012 | 0.22515 | 0.63547 |
LOF | 100 | 0.30538 | 0.13172 | 0.29694 | 0.12118 | 0.37992 | 0.22490 | 0.63771 |
SimplifiedLOF | 88 | 0.28639 | 0.10799 | 0.28227 | 0.10284 | 0.35821 | 0.19776 | 0.60071 |
SimplifiedLOF | 94 | 0.29430 | 0.11788 | 0.28452 | 0.10565 | 0.35750 | 0.19688 | 0.60366 |
SimplifiedLOF | 100 | 0.29114 | 0.11392 | 0.28771 | 0.10963 | 0.35781 | 0.19726 | 0.60646 |
LoOP | 70 | 0.27690 | 0.09612 | 0.24119 | 0.05149 | 0.34587 | 0.18234 | 0.56979 |
LoOP | 88 | 0.27373 | 0.09217 | 0.24930 | 0.06162 | 0.35153 | 0.18941 | 0.57621 |
LoOP | 99 | 0.27532 | 0.09415 | 0.25349 | 0.06686 | 0.34937 | 0.18671 | 0.57937 |
LoOP | 100 | 0.27532 | 0.09415 | 0.25375 | 0.06719 | 0.34993 | 0.18741 | 0.57894 |
LDOF | 2 | 0.25158 | 0.06448 | 0.24867 | 0.06084 | 0.33430 | 0.16788 | 0.47937 |
LDOF | 98 | 0.21203 | 0.01503 | 0.21134 | 0.01417 | 0.33626 | 0.17032 | 0.51570 |
LDOF | 100 | 0.20886 | 0.01108 | 0.21199 | 0.01499 | 0.33599 | 0.16999 | 0.51660 |
ODIN | 22 | 0.16588 | -0.04266 | 0.21087 | 0.01359 | 0.36896 | 0.21120 | 0.55373 |
ODIN | 80 | 0.22824 | 0.03530 | 0.21625 | 0.02032 | 0.35813 | 0.19766 | 0.56243 |
ODIN | 88 | 0.23779 | 0.04724 | 0.21628 | 0.02035 | 0.35644 | 0.19554 | 0.56095 |
ODIN | 100 | 0.23531 | 0.04413 | 0.21721 | 0.02152 | 0.35760 | 0.19699 | 0.56059 |
FastABOD | 3 | 0.40032 | 0.25040 | 0.38862 | 0.23577 | 0.43756 | 0.29695 | 0.70825 |
FastABOD | 27 | 0.38449 | 0.23062 | 0.38277 | 0.22847 | 0.45266 | 0.31583 | 0.70557 |
KDEOS | 95 | 0.22152 | 0.02690 | 0.23179 | 0.03974 | 0.35953 | 0.19941 | 0.57768 |
KDEOS | 99 | 0.21361 | 0.01701 | 0.23214 | 0.04018 | 0.36062 | 0.20077 | 0.57844 |
KDEOS | 100 | 0.21361 | 0.01701 | 0.23181 | 0.03977 | 0.36096 | 0.20121 | 0.57850 |
LDF | 96 | 0.39557 | 0.24446 | 0.40388 | 0.25485 | 0.43768 | 0.29710 | 0.71198 |
LDF | 100 | 0.40665 | 0.25831 | 0.40528 | 0.25660 | 0.43579 | 0.29474 | 0.71430 |
INFLO | 86 | 0.27848 | 0.09810 | 0.27160 | 0.08949 | 0.45657 | 0.32071 | 0.63534 |
INFLO | 91 | 0.28006 | 0.10008 | 0.27400 | 0.09250 | 0.45895 | 0.32369 | 0.63401 |
INFLO | 92 | 0.28481 | 0.10601 | 0.27394 | 0.09242 | 0.45895 | 0.32369 | 0.63246 |
INFLO | 98 | 0.27848 | 0.09810 | 0.27477 | 0.09346 | 0.45664 | 0.32081 | 0.63108 |
COF | 72 | 0.32437 | 0.15546 | 0.32733 | 0.15916 | 0.36364 | 0.20455 | 0.61235 |
COF | 98 | 0.31646 | 0.14557 | 0.34819 | 0.18524 | 0.37968 | 0.22461 | 0.63121 |
COF | 100 | 0.31804 | 0.14755 | 0.34928 | 0.18660 | 0.37841 | 0.22301 | 0.63181 |
Plots
Not normalized, duplicates
This version contains 57 attributes, 3485 objects, 697 outliers (20.00%)
Download raw algorithm results (28.6 MB) Download raw algorithm evaluation table (73.3 kB)
Best Parameters
The following table contains the best
(overall and per-method)
results for each method and evaluation measure (when the same score was achieved twice, only the smallest k is given).
The Maximum F1-Measure is complimentary in addition to the measures in the original publication.
Algorithm | k | P@n | Adj. P@n | AP | Adj. AP | Max-F1 | Adj. MF1 | ROC AUC |
---|---|---|---|---|---|---|---|---|
KNN | 11 | 0.43615 | 0.29519 | 0.43048 | 0.28810 | 0.45049 | 0.31312 | 0.74656 |
KNN | 13 | 0.43472 | 0.29340 | 0.43322 | 0.29153 | 0.45285 | 0.31606 | 0.74941 |
KNN | 87 | 0.42037 | 0.27547 | 0.41234 | 0.26543 | 0.47314 | 0.34142 | 0.75564 |
KNN | 88 | 0.42037 | 0.27547 | 0.41212 | 0.26515 | 0.47431 | 0.34289 | 0.75561 |
KNNW | 18 | 0.43042 | 0.28802 | 0.42851 | 0.28564 | 0.45512 | 0.31890 | 0.73990 |
KNNW | 22 | 0.43042 | 0.28802 | 0.42883 | 0.28603 | 0.45373 | 0.31716 | 0.74302 |
KNNW | 95 | 0.42324 | 0.27905 | 0.41720 | 0.27149 | 0.46631 | 0.33288 | 0.75399 |
KNNW | 100 | 0.42181 | 0.27726 | 0.41685 | 0.27106 | 0.46625 | 0.33282 | 0.75417 |
LOF | 95 | 0.28694 | 0.10868 | 0.27186 | 0.08982 | 0.38170 | 0.22713 | 0.62495 |
LOF | 98 | 0.28551 | 0.10689 | 0.27527 | 0.09409 | 0.38467 | 0.23084 | 0.62919 |
LOF | 100 | 0.28407 | 0.10509 | 0.27682 | 0.09603 | 0.38437 | 0.23046 | 0.63133 |
SimplifiedLOF | 2 | 0.24534 | 0.05667 | 0.21752 | 0.02190 | 0.33333 | 0.16667 | 0.49591 |
SimplifiedLOF | 96 | 0.21521 | 0.01901 | 0.23078 | 0.03848 | 0.35352 | 0.19190 | 0.57040 |
SimplifiedLOF | 100 | 0.21521 | 0.01901 | 0.23470 | 0.04337 | 0.35249 | 0.19061 | 0.57399 |
LoOP | 1 | 0.23529 | 0.04412 | 0.23140 | 0.03925 | 0.33333 | 0.16667 | 0.50072 |
LoOP | 86 | 0.19656 | -0.00430 | 0.21343 | 0.01679 | 0.34932 | 0.18666 | 0.54846 |
LoOP | 100 | 0.20803 | 0.01004 | 0.22311 | 0.02889 | 0.34542 | 0.18178 | 0.55534 |
LDOF | 2 | 0.25538 | 0.06923 | 0.22800 | 0.03500 | 0.33333 | 0.16667 | 0.46722 |
LDOF | 71 | 0.16356 | -0.04555 | 0.18054 | -0.02432 | 0.34230 | 0.17788 | 0.47238 |
LDOF | 100 | 0.17360 | -0.03300 | 0.19195 | -0.01006 | 0.34119 | 0.17649 | 0.49023 |
ODIN | 1 | 0.20401 | 0.00502 | 0.21578 | 0.01973 | 0.35511 | 0.19389 | 0.54845 |
ODIN | 24 | 0.15797 | -0.05254 | 0.20592 | 0.00740 | 0.37551 | 0.21939 | 0.55265 |
ODIN | 99 | 0.20608 | 0.00760 | 0.21135 | 0.01419 | 0.36175 | 0.20218 | 0.55795 |
ODIN | 100 | 0.20570 | 0.00713 | 0.21175 | 0.01469 | 0.36180 | 0.20225 | 0.55806 |
FastABOD | 30 | 0.38451 | 0.23063 | 0.37961 | 0.22451 | 0.46169 | 0.32712 | 0.71653 |
FastABOD | 70 | 0.39024 | 0.23780 | 0.39261 | 0.24076 | 0.45981 | 0.32476 | 0.71859 |
FastABOD | 100 | 0.39024 | 0.23780 | 0.39402 | 0.24252 | 0.46108 | 0.32635 | 0.71905 |
KDEOS | 3 | 0.21090 | 0.01363 | 0.20017 | 0.00021 | 0.33357 | 0.16697 | 0.47962 |
KDEOS | 100 | 0.19943 | -0.00072 | 0.21544 | 0.01931 | 0.35342 | 0.19177 | 0.54870 |
LDF | 97 | 0.36729 | 0.20911 | 0.38421 | 0.23027 | 0.42022 | 0.27528 | 0.69570 |
LDF | 99 | 0.37159 | 0.21449 | 0.38421 | 0.23027 | 0.41832 | 0.27290 | 0.69787 |
LDF | 100 | 0.37303 | 0.21628 | 0.38522 | 0.23152 | 0.41899 | 0.27374 | 0.69726 |
INFLO | 94 | 0.23529 | 0.04412 | 0.24909 | 0.06136 | 0.44342 | 0.30427 | 0.61557 |
INFLO | 95 | 0.23386 | 0.04232 | 0.24925 | 0.06156 | 0.44506 | 0.30633 | 0.61491 |
INFLO | 99 | 0.24103 | 0.05129 | 0.25074 | 0.06343 | 0.44061 | 0.30077 | 0.61135 |
COF | 92 | 0.27547 | 0.09433 | 0.24436 | 0.05546 | 0.35632 | 0.19540 | 0.58199 |
COF | 95 | 0.26829 | 0.08537 | 0.24853 | 0.06067 | 0.35942 | 0.19928 | 0.58421 |
COF | 100 | 0.26686 | 0.08357 | 0.25843 | 0.07303 | 0.35772 | 0.19715 | 0.59014 |